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Estimation Of Product Of Two Population Means By Multi-Auxiliary Characters Under Double Sampling The Non-Respondents

Author

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  • Khare B. B.

    (Department of Statistics, Banaras Hindu University, Varanasi, India .)

  • Sinha R. R.

    (Department of Mathematics, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India .)

Abstract

This paper considers the problem of estimating the product of two population means using the information on multi-auxiliary characters with double sampling the non-respondents. Classes of estimators are proposed for estimating P under two different situations [discussed by Rao (1986, 90)] using known population mean of multi-auxiliary characters. Further, this problem has been extended to the case when population means of the auxiliary characters are unknown and they are estimated on the basis of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.

Suggested Citation

  • Khare B. B. & Sinha R. R., 2019. "Estimation Of Product Of Two Population Means By Multi-Auxiliary Characters Under Double Sampling The Non-Respondents," Statistics in Transition New Series, Polish Statistical Association, vol. 20(3), pages 81-95, September.
    • Handle: RePEc:vrs:stintr:v:20:y:2019:i:3:p:81-95:n:8
    DOI: 10.21307/stattrans-2019-025
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    References listed on IDEAS

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    1. H. Singh & P. Chandra & Anwar Joarder & Sarjinder Singh, 2007. "Family of estimators of mean, ratio and product of a finite population using random nonresponse," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(3), pages 565-597, December.
    2. M. Singh, 1967. "Ratio cum product method of estimation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 12(1), pages 34-42, December.
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